/usr/local/lib64/python3.6/site-packages/pandas/tests/frame/methods
Edit: /usr/local/lib64/python3.6/site-packages/pandas/tests/frame/methods/test_align.py (10339B)
import numpy as np
import pytest
import pandas as pd
from pandas import DataFrame, Index, Series
import pandas._testing as tm
class TestDataFrameAlign:
def test_align_float(self, float_frame):
af, bf = float_frame.align(float_frame)
assert af._mgr is not float_frame._mgr
af, bf = float_frame.align(float_frame, copy=False)
assert af._mgr is float_frame._mgr
# axis = 0
other = float_frame.iloc[:-5, :3]
af, bf = float_frame.align(other, axis=0, fill_value=-1)
tm.assert_index_equal(bf.columns, other.columns)
# test fill value
join_idx = float_frame.index.join(other.index)
diff_a = float_frame.index.difference(join_idx)
diff_b = other.index.difference(join_idx)
diff_a_vals = af.reindex(diff_a).values
diff_b_vals = bf.reindex(diff_b).values
assert (diff_a_vals == -1).all()
af, bf = float_frame.align(other, join="right", axis=0)
tm.assert_index_equal(bf.columns, other.columns)
tm.assert_index_equal(bf.index, other.index)
tm.assert_index_equal(af.index, other.index)
# axis = 1
other = float_frame.iloc[:-5, :3].copy()
af, bf = float_frame.align(other, axis=1)
tm.assert_index_equal(bf.columns, float_frame.columns)
tm.assert_index_equal(bf.index, other.index)
# test fill value
join_idx = float_frame.index.join(other.index)
diff_a = float_frame.index.difference(join_idx)
diff_b = other.index.difference(join_idx)
diff_a_vals = af.reindex(diff_a).values
# TODO(wesm): unused?
diff_b_vals = bf.reindex(diff_b).values # noqa
assert (diff_a_vals == -1).all()
af, bf = float_frame.align(other, join="inner", axis=1)
tm.assert_index_equal(bf.columns, other.columns)
af, bf = float_frame.align(other, join="inner", axis=1, method="pad")
tm.assert_index_equal(bf.columns, other.columns)
af, bf = float_frame.align(
other.iloc[:, 0], join="inner", axis=1, method=None, fill_value=None
)
tm.assert_index_equal(bf.index, Index([]))
af, bf = float_frame.align(
other.iloc[:, 0], join="inner", axis=1, method=None, fill_value=0
)
tm.assert_index_equal(bf.index, Index([]))
# Try to align DataFrame to Series along bad axis
msg = "No axis named 2 for object type DataFrame"
with pytest.raises(ValueError, match=msg):
float_frame.align(af.iloc[0, :3], join="inner", axis=2)
# align dataframe to series with broadcast or not
idx = float_frame.index
s = Series(range(len(idx)), index=idx)
left, right = float_frame.align(s, axis=0)
tm.assert_index_equal(left.index, float_frame.index)
tm.assert_index_equal(right.index, float_frame.index)
assert isinstance(right, Series)
left, right = float_frame.align(s, broadcast_axis=1)
tm.assert_index_equal(left.index, float_frame.index)
expected = {c: s for c in float_frame.columns}
expected = DataFrame(
expected, index=float_frame.index, columns=float_frame.columns
)
tm.assert_frame_equal(right, expected)
# see gh-9558
df = DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]})
result = df[df["a"] == 2]
expected = DataFrame([[2, 5]], index=[1], columns=["a", "b"])
tm.assert_frame_equal(result, expected)
result = df.where(df["a"] == 2, 0)
expected = DataFrame({"a": [0, 2, 0], "b": [0, 5, 0]})
tm.assert_frame_equal(result, expected)
def test_align_int(self, int_frame):
# test other non-float types
other = DataFrame(index=range(5), columns=["A", "B", "C"])
af, bf = int_frame.align(other, join="inner", axis=1, method="pad")
tm.assert_index_equal(bf.columns, other.columns)
def test_align_mixed_type(self, float_string_frame):
af, bf = float_string_frame.align(
float_string_frame, join="inner", axis=1, method="pad"
)
tm.assert_index_equal(bf.columns, float_string_frame.columns)
def test_align_mixed_float(self, mixed_float_frame):
# mixed floats/ints
other = DataFrame(index=range(5), columns=["A", "B", "C"])
af, bf = mixed_float_frame.align(
other.iloc[:, 0], join="inner", axis=1, method=None, fill_value=0
)
tm.assert_index_equal(bf.index, Index([]))
def test_align_mixed_int(self, mixed_int_frame):
other = DataFrame(index=range(5), columns=["A", "B", "C"])
af, bf = mixed_int_frame.align(
other.iloc[:, 0], join="inner", axis=1, method=None, fill_value=0
)
tm.assert_index_equal(bf.index, Index([]))
@pytest.mark.parametrize(
"l_ordered,r_ordered,expected",
[
[True, True, pd.CategoricalIndex],
[True, False, pd.Index],
[False, True, pd.Index],
[False, False, pd.CategoricalIndex],
],
)
def test_align_categorical(self, l_ordered, r_ordered, expected):
# GH-28397
df_1 = DataFrame(
{
"A": np.arange(6, dtype="int64"),
"B": Series(list("aabbca")).astype(
pd.CategoricalDtype(list("cab"), ordered=l_ordered)
),
}
).set_index("B")
df_2 = DataFrame(
{
"A": np.arange(5, dtype="int64"),
"B": Series(list("babca")).astype(
pd.CategoricalDtype(list("cab"), ordered=r_ordered)
),
}
).set_index("B")
aligned_1, aligned_2 = df_1.align(df_2)
assert isinstance(aligned_1.index, expected)
assert isinstance(aligned_2.index, expected)
tm.assert_index_equal(aligned_1.index, aligned_2.index)
def test_align_multiindex(self):
# GH#10665
# same test cases as test_align_multiindex in test_series.py
midx = pd.MultiIndex.from_product(
[range(2), range(3), range(2)], names=("a", "b", "c")
)
idx = pd.Index(range(2), name="b")
df1 = pd.DataFrame(np.arange(12, dtype="int64"), index=midx)
df2 = pd.DataFrame(np.arange(2, dtype="int64"), index=idx)
# these must be the same results (but flipped)
res1l, res1r = df1.align(df2, join="left")
res2l, res2r = df2.align(df1, join="right")
expl = df1
tm.assert_frame_equal(expl, res1l)
tm.assert_frame_equal(expl, res2r)
expr = pd.DataFrame([0, 0, 1, 1, np.nan, np.nan] * 2, index=midx)
tm.assert_frame_equal(expr, res1r)
tm.assert_frame_equal(expr, res2l)
res1l, res1r = df1.align(df2, join="right")
res2l, res2r = df2.align(df1, join="left")
exp_idx = pd.MultiIndex.from_product(
[range(2), range(2), range(2)], names=("a", "b", "c")
)
expl = pd.DataFrame([0, 1, 2, 3, 6, 7, 8, 9], index=exp_idx)
tm.assert_frame_equal(expl, res1l)
tm.assert_frame_equal(expl, res2r)
expr = pd.DataFrame([0, 0, 1, 1] * 2, index=exp_idx)
tm.assert_frame_equal(expr, res1r)
tm.assert_frame_equal(expr, res2l)
def test_align_series_combinations(self):
df = pd.DataFrame({"a": [1, 3, 5], "b": [1, 3, 5]}, index=list("ACE"))
s = pd.Series([1, 2, 4], index=list("ABD"), name="x")
# frame + series
res1, res2 = df.align(s, axis=0)
exp1 = pd.DataFrame(
{"a": [1, np.nan, 3, np.nan, 5], "b": [1, np.nan, 3, np.nan, 5]},
index=list("ABCDE"),
)
exp2 = pd.Series([1, 2, np.nan, 4, np.nan], index=list("ABCDE"), name="x")
tm.assert_frame_equal(res1, exp1)
tm.assert_series_equal(res2, exp2)
# series + frame
res1, res2 = s.align(df)
tm.assert_series_equal(res1, exp2)
tm.assert_frame_equal(res2, exp1)
def _check_align(self, a, b, axis, fill_axis, how, method, limit=None):
aa, ab = a.align(
b, axis=axis, join=how, method=method, limit=limit, fill_axis=fill_axis
)
join_index, join_columns = None, None
ea, eb = a, b
if axis is None or axis == 0:
join_index = a.index.join(b.index, how=how)
ea = ea.reindex(index=join_index)
eb = eb.reindex(index=join_index)
if axis is None or axis == 1:
join_columns = a.columns.join(b.columns, how=how)
ea = ea.reindex(columns=join_columns)
eb = eb.reindex(columns=join_columns)
ea = ea.fillna(axis=fill_axis, method=method, limit=limit)
eb = eb.fillna(axis=fill_axis, method=method, limit=limit)
tm.assert_frame_equal(aa, ea)
tm.assert_frame_equal(ab, eb)
@pytest.mark.parametrize("meth", ["pad", "bfill"])
@pytest.mark.parametrize("ax", [0, 1, None])
@pytest.mark.parametrize("fax", [0, 1])
@pytest.mark.parametrize("how", ["inner", "outer", "left", "right"])
def test_align_fill_method(self, how, meth, ax, fax, float_frame):
df = float_frame
self._check_align_fill(df, how, meth, ax, fax)
def _check_align_fill(self, frame, kind, meth, ax, fax):
left = frame.iloc[0:4, :10]
right = frame.iloc[2:, 6:]
empty = frame.iloc[:0, :0]
self._check_align(left, right, axis=ax, fill_axis=fax, how=kind, method=meth)
self._check_align(
left, right, axis=ax, fill_axis=fax, how=kind, method=meth, limit=1
)
# empty left
self._check_align(empty, right, axis=ax, fill_axis=fax, how=kind, method=meth)
self._check_align(
empty, right, axis=ax, fill_axis=fax, how=kind, method=meth, limit=1
)
# empty right
self._check_align(left, empty, axis=ax, fill_axis=fax, how=kind, method=meth)
self._check_align(
left, empty, axis=ax, fill_axis=fax, how=kind, method=meth, limit=1
)
# both empty
self._check_align(empty, empty, axis=ax, fill_axis=fax, how=kind, method=meth)
self._check_align(
empty, empty, axis=ax, fill_axis=fax, how=kind, method=meth, limit=1
)